Crafting Adversarial Input Sequences for Recurrent Neural Networks

28 April 2016

Papers citing "Crafting Adversarial Input Sequences for Recurrent Neural Networks"

50 / 206 papers shown

Title
Reprogramming Language Models for Molecular Representation Learning R. Vinod Pin-Yu Chen Payel Das AAML OOD 107 15 0 07 Dec 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences Haojing Shen Sihong Chen Ran Wang Xizhao Wang AAML 55 0 0 28 Nov 2020
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers Shiyang Li Semih Yavuz Kazuma Hashimoto Jia Li Tong Niu Nazneen Rajani Xifeng Yan Yingbo Zhou Caiming Xiong 99 62 0 24 Oct 2020
Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers Lei Xu Ivan Ramirez K. Veeramachaneni AAML 22 2 0 22 Oct 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Leilei Gan Jiwei Li FAtt 78 10 0 14 Oct 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder Alvin Chan Yi Tay Yew-Soon Ong Aston Zhang SILM 78 57 0 06 Oct 2020
Adversarial Attack and Defense of Structured Prediction Models Wenjuan Han Liwen Zhang Yong Jiang Kewei Tu AAML 66 39 0 04 Oct 2020
STRATA: Simple, Gradient-Free Attacks for Models of Code Jacob Mitchell Springer Bryn Reinstadler Una-May O’Reilly AAML 35 9 0 28 Sep 2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations Jiawei Wu Xiaoya Li Xiang Ao Yuxian Meng Leilei Gan Jiwei Li OOD DRL 29 11 0 21 Sep 2020
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations Yuan Zang Bairu Hou Fanchao Qi Zhiyuan Liu Xiaojun Meng Maosong Sun 60 11 0 19 Sep 2020
OpenAttack: An Open-source Textual Adversarial Attack Toolkit Guoyang Zeng Fanchao Qi Qianrui Zhou Ting Zhang Zixian Ma Bairu Hou Yuan Zang Zhiyuan Liu Maosong Sun AAML 197 125 0 19 Sep 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks Shankar A. Deka D. Stipanović Claire Tomlin AAML 42 7 0 07 Sep 2020
On the Generalization Properties of Adversarial Training Yue Xing Qifan Song Guang Cheng AAML 76 34 0 15 Aug 2020
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks Xiaosen Wang Yichen Yang Yihe Deng Kun He OOD AAML 33 3 0 09 Aug 2020
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML 78 12 0 05 Jul 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 43 5 0 19 Jun 2020
Adversarial Attacks and Defense on Texts: A Survey A. Huq Mst. Tasnim Pervin AAML 147 21 0 28 May 2020
Scalable Polyhedral Verification of Recurrent Neural Networks Wonryong Ryou Jiayu Chen Mislav Balunović Gagandeep Singh Andrei Dan Martin Vechev 77 31 0 27 May 2020
Learning Robust Models for e-Commerce Product Search Thanh V. Nguyen Nikhil S. Rao Karthik Subbian CML NoLa OOD 50 20 0 07 May 2020
Reevaluating Adversarial Examples in Natural Language John X. Morris Eli Lifland Jack Lanchantin Yangfeng Ji Yanjun Qi SILM AAML 180 114 0 25 Apr 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 140 456 0 14 Apr 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples Maximilian Mozes Pontus Stenetorp Bennett Kleinberg Lewis D. Griffin AAML 175 103 0 13 Apr 2020
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models Yankun Ren J. Lin Siliang Tang Jun Zhou Shuang Yang Yuan Qi Xiang Ren GAN AAML SILM 59 23 0 10 Mar 2020
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world I. Fursov Alexey Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 46 11 0 09 Mar 2020
Adversarial Machine Learning: Bayesian Perspectives D. Insua Roi Naveiro Víctor Gallego Jason Poulos AAML 27 21 0 07 Mar 2020
Robustness Verification for Transformers Zhouxing Shi Huan Zhang Kai-Wei Chang Minlie Huang Cho-Jui Hsieh AAML 81 109 0 16 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 141 155 0 13 Feb 2020
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation Yue Xing Qifan Song Guang Cheng 29 6 0 13 Feb 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 66 88 0 11 Feb 2020
FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications Dou Goodman Zhonghou Lv Minghua Wang AAML 57 6 0 31 Jan 2020
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers Bijeeta Pal Shruti Tople AAML 75 9 0 08 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 78 12 0 06 Jan 2020
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack Wei Ping Hengzhi Pei Boyuan Pan Han Liu Shuohang Wang Yangqiu Song AAML 57 6 0 22 Dec 2019
Explainability and Adversarial Robustness for RNNs Alexander Hartl Maximilian Bachl J. Fabini Tanja Zseby AAML 57 32 0 20 Dec 2019
Fastened CROWN: Tightened Neural Network Robustness Certificates Zhaoyang Lyu Ching-Yun Ko Zhifeng Kong Ngai Wong Dahua Lin Luca Daniel 146 67 0 02 Dec 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 56 14 0 28 Nov 2019
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems Jianmin Guo Yue Zhao Xueying Han Yu Jiang AAML 62 13 0 11 Nov 2019
Coverage Guided Testing for Recurrent Neural Networks Wei Huang Youcheng Sun Xing-E. Zhao James Sharp Wenjie Ruan Jie Meng Xiaowei Huang AAML 122 48 0 05 Nov 2019
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System Juncheng Billy Li Shuhui Qu Xinjian Li Joseph Szurley J. Zico Kolter Florian Metze AAML 69 67 0 31 Oct 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning Xuanqing Liu Si Si Xiaojin Zhu Yang Li Cho-Jui Hsieh AAML 87 79 0 30 Oct 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 108 15 0 10 Oct 2019
GAMIN: An Adversarial Approach to Black-Box Model Inversion Ulrich Aïvodji Sébastien Gambs Timon Ther MLAU 73 42 0 26 Sep 2019
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments Alesia Chernikova Alina Oprea AAML 73 40 0 23 Sep 2019
Natural Language Adversarial Defense through Synonym Encoding Xiaosen Wang Hao Jin Yichen Yang Kun He AAML 85 64 0 15 Sep 2019
Effectiveness of Adversarial Examples and Defenses for Malware Classification Robert Podschwadt Hassan Takabi AAML 44 11 0 10 Sep 2019
Natural Adversarial Sentence Generation with Gradient-based Perturbation Yu-Lun Hsieh Minhao Cheng Da-Cheng Juan Wei Wei W. Hsu Cho-Jui Hsieh AAML 47 2 0 06 Sep 2019
Robustness to Modification with Shared Words in Paraphrase Identification Zhouxing Shi Minlie Huang 108 1 0 05 Sep 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP Eric Wallace Shi Feng Nikhil Kandpal Matt Gardner Sameer Singh AAML SILM 118 877 0 20 Aug 2019
Neural Network Verification for the Masses (of AI graduates) Ekaterina Komendantskaya Rob Stewart Kirsy Duncan Daniel Kienitz Pierre Le Hen Pascal Bacchus 16 0 0 02 Jul 2019
Robustness Guarantees for Deep Neural Networks on Videos Min Wu Marta Z. Kwiatkowska AAML 81 23 0 28 Jun 2019